Input-output Decoupling of Singular Boolean Control Networks

This paper investigates the input-output decoupling problem of singular Boolean control networks (SBCNs) by using the semi-tensor product method. First, the dynamics of SBCNs are converted into algebraic forms via the matrix expression of logical functions. Then, if the problem is solvable desired state feedback controllers to solve it are designed by solving a set of logical matrix equations. In addition, necessary and sufficient conditions for the solvability of input-output decoupling problem of SBCNs are obtained. Finally, an illustrative example is given to show the effectiveness of the obtained results.

[1]  D. Cheng,et al.  Analysis and control of Boolean networks: A semi-tensor product approach , 2010, 2009 7th Asian Control Conference.

[2]  Min Meng,et al.  Topological structure and the disturbance decoupling problem of singular Boolean networks , 2014 .

[3]  Yang Liu,et al.  Disturbance Decoupling of Singular Boolean Control Networks , 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[4]  Daizhan Cheng,et al.  Nonsingularity of feedback shift registers , 2015, Autom..

[5]  S. Kauffman Metabolic stability and epigenesis in randomly constructed genetic nets. , 1969, Journal of theoretical biology.

[6]  Yuzhen Wang,et al.  A matrix approach to graph maximum stable set and coloring problems with application to multi-agent systems , 2012, Autom..

[7]  Fuad E. Alsaadi,et al.  Control design for output tracking of delayed Boolean control networks , 2018, J. Comput. Appl. Math..

[8]  Min Meng,et al.  Controllability and Observability of Singular Boolean Control Networks , 2015, Circuits Syst. Signal Process..

[9]  Ettore Fornasini,et al.  Optimal Control of Boolean Control Networks , 2014, IEEE Transactions on Automatic Control.

[10]  Biao Wang,et al.  Detectability of Boolean Control Networks , 2020, Discrete-Time and Discrete-Space Dynamical Systems.

[11]  Daizhan Cheng,et al.  State–Space Analysis of Boolean Networks , 2010, IEEE Transactions on Neural Networks.

[12]  Carsten Peterson,et al.  Random Boolean network models and the yeast transcriptional network , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[13]  Guodong Zhao,et al.  Modelling and strategy optimisation for a kind of networked evolutionary games with memories under the bankruptcy mechanism , 2018, Int. J. Control.

[14]  Daizhan Cheng,et al.  Morgan’s problem of Boolean control networks , 2017 .

[15]  Zhaoxu Yu,et al.  Optimal control algorithms for switched Boolean network , 2014, J. Frankl. Inst..

[16]  F. Alsaadi,et al.  Semi-tensor product method to a class of event-triggered control for finite evolutionary networked games , 2017 .

[17]  Xueying Ding,et al.  Set stability of switched delayed logical networks with application to finite-field consensus , 2020, Autom..

[18]  Weiwei Sun,et al.  Modelling and strategy consensus for a class of networked evolutionary games , 2018, Int. J. Syst. Sci..

[19]  Haitao Li,et al.  A Control Lyapunov Function Approach to Feedback Stabilization of Logical Control Networks , 2019, SIAM J. Control. Optim..

[20]  Jianjun Wang,et al.  Input-output decoupling control design for switched Boolean control networks , 2018, J. Frankl. Inst..

[21]  M.H. Hassoun,et al.  Fundamentals of Artificial Neural Networks , 1996, Proceedings of the IEEE.

[22]  Tianguang Chu,et al.  Controller design for disturbance decoupling of Boolean control networks , 2013, Autom..

[23]  Maria Elena Valcher,et al.  Input/output decoupling of Boolean control networks , 2017 .

[24]  Jianwei Xia,et al.  Input–output decoupling for mix-valued logical control networks via the semi-tensor product method , 2020, Int. J. Control.

[25]  Peng Cui,et al.  Singular Boolean networks: Semi-tensor product approach , 2012, Science China Information Sciences.

[26]  LI Hai-ta,et al.  Stability analysis for switched singular Boolean networks , 2014 .

[27]  Daizhan Cheng,et al.  Controllability and observability of Boolean control networks , 2009, Autom..

[28]  Yang Liu,et al.  Controllability of probabilistic Boolean control networks based on transition probability matrices , 2015, Autom..

[29]  Jr. B. Morgan The synthesis of linear multivariable systems by state-variable feedback , 1964 .

[30]  Daizhan Cheng,et al.  Bi-decomposition of multi-valued logical functions and its applications , 2013, Autom..

[31]  Daizhan Cheng,et al.  Disturbance Decoupling of Boolean Control Networks , 2011, IEEE Transactions on Automatic Control.